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Linux v11800 5.3.0-1023-aws #25~18.04.1-Ubuntu SMP Fri Jun 5 15:19:18 UTC 2020 aarch64
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| Current File : /storage/v11800/affypharma/public_html/wp-content/plugins/ai-engine/classes/engines/openai.php |
<?php
class Meow_MWAI_Engines_OpenAI extends Meow_MWAI_Engines_Core
{
// Base (OpenAI)
protected $apiKey = null;
protected $organizationId = null;
// Azure
private $azureDeployments = null;
private $azureApiVersion = 'api-version=2024-03-01-preview';
// Response
protected $inModel = null;
protected $inId = null;
protected $inThreadId = null;
// Streaming
protected $streamFunctionCall = null;
protected $streamToolCalls = [];
protected $streamLastMessage = null;
protected $streamInTokens = null;
protected $streamOutTokens = null;
// Static
private static $creating = false;
public static function create( $core, $env ) {
self::$creating = true;
if ( class_exists( 'MeowPro_MWAI_OpenAI' ) ) {
$instance = new MeowPro_MWAI_OpenAI( $core, $env );
}
else {
$instance = new self( $core, $env );
}
self::$creating = false;
return $instance;
}
public function __construct( $core, $env )
{
$isOwnClass = get_class( $this ) === 'Meow_MWAI_Engines_OpenAI';
if ( $isOwnClass && !self::$creating ) {
throw new \Exception( "Please use the create() method to instantiate the Meow_MWAI_Engines_OpenAI class." );
}
parent::__construct( $core, $env );
$this->set_environment();
}
public function reset_stream() {
$this->streamContent = null;
$this->streamBuffer = null;
$this->streamFunctionCall = null;
$this->streamToolCalls = [];
$this->streamLastMessage = null;
$this->streamInTokens = null;
$this->streamOutTokens = null;
$this->inModel = null;
$this->inId = null;
}
protected function set_environment() {
$env = $this->env;
$this->apiKey = $env['apikey'];
if ( isset( $env['organizationId'] ) ) {
$this->organizationId = $env['organizationId'];
}
if ( $this->envType === 'azure' ) {
$this->azureDeployments = isset( $env['deployments'] ) ? $env['deployments'] : [];
$this->azureDeployments[] = [ 'model' => 'dall-e', 'name' => 'dall-e' ];
}
}
private function get_azure_deployment_name( $model ) {
foreach ( $this->azureDeployments as $deployment ) {
if ( $deployment['model'] === $model && !empty( $deployment['name'] ) ) {
return $deployment['name'];
}
}
throw new Exception( 'Unknown deployment for model: ' . $model );
}
protected function get_service_name() {
return $this->envType === 'azure' ? 'Azure' : 'OpenAI';
}
private function build_prompt( $query ) {
$prompt = "";
if ( $query->mode === 'chat' ) {
$prompt = $query->instructions . "\n\n";
foreach ( $query->messages as $message ) {
$role = $message['role'];
$content = $message['content'];
if ( $role === 'system' ) {
$prompt .= "$content\n\n";
}
if ( $role === 'user' ) {
$prompt .= "User: $content\n";
}
if ( $role === 'assistant' ) {
$prompt .= "AI: $content\n";
}
}
$prompt .= "AI: ";
}
else if ( $query->mode === 'completion' ) {
$prompt = $query->get_message();
}
return $prompt;
}
protected function build_messages( $query ) {
$messages = [];
// First, we need to add the first message (the instructions).
if ( !empty( $query->instructions ) ) {
$messages[] = [ 'role' => 'system', 'content' => $query->instructions ];
}
// Then, if any, we need to add the 'messages', they are already formatted.
foreach ( $query->messages as $message ) {
$messages[] = $message;
}
// If there is a context, we need to add it.
if ( !empty( $query->context ) ) {
$messages[] = [ 'role' => 'system', 'content' => $query->context ];
}
// Finally, we need to add the message, but if there is an image, we need to add it as a system message.
if ( $query->attachedFile ) {
$finalUrl = null;
$remote_upload = $this->core->get_option( 'image_remote_upload' );
if ( $remote_upload === 'url' ) {
$finalUrl = $query->attachedFile->get_url();
}
else {
$finalUrl = $query->attachedFile->get_inline_base64_url();
}
$messages[] = [
'role' => 'user',
'content' => [
[
"type" => "text",
"text" => $query->get_message()
],
[
"type" => "image_url",
"image_url" => [
"url" => $finalUrl
]
]
]
];
}
else {
$messages[] = [ 'role' => 'user', 'content' => $query->get_message() ];
}
return $messages;
}
protected function build_body( $query, $streamCallback = null, $extra = null ) {
if ( $query instanceof Meow_MWAI_Query_Text ) {
$body = array(
"model" => $query->model,
"n" => $query->maxResults,
"max_tokens" => $query->maxTokens,
"temperature" => $query->temperature,
"stream" => !is_null( $streamCallback ),
);
if ( !empty( $query->stop ) ) {
$body['stop'] = $query->stop;
}
if ( !empty( $query->responseFormat ) ) {
if ( $query->responseFormat === 'json' ) {
$body['response_format'] = [ 'type' => 'json_object' ];
}
}
// Usage Data (only for OpenAI)
// https://cookbook.openai.com/examples/how_to_stream_completions#4-how-to-get-token-usage-data-for-streamed-chat-completion-response
if ( !empty( $streamCallback ) && $this->envType === 'openai' ) {
$body['stream_options'] = [
'include_usage' => true,
];
}
if ( !empty( $query->functions ) ) {
$model = $this->retrieve_model_info( $query->model );
if ( !empty( $model['tags'] ) && !in_array( 'functions', $model['tags'] ) ) {
$this->core->log( '⚠️ (OpenAI) The model ' . $query->model . ' doesn\'t support Function Calling.' );
}
else if ( strpos( $query->model, 'ft:' ) === 0 ) {
$this->core->log( '⚠️ (OpenAI) OpenAI doesn\'t support Function Calling with fine-tuned models yet.' );
}
else {
$body['tools'] = [];
// Dynamic function: they will interactively enhance the completion (tools).
foreach ( $query->functions as $function ) {
$body['tools'][] = [
'type' => 'function',
'function' => $function->serializeForOpenAI()
];
}
// Static functions: they will be executed at the end of the completion.
//$body['function_call'] = $query->functionCall;
}
}
if ( $query->mode === 'chat' ) {
$body['messages'] = $this->build_messages( $query );
}
else if ( $query->mode === 'completion' ) {
$body['prompt'] = $this->build_prompt( $query );
}
// Add the feedback if it's a feedback query.
if ( $query instanceof Meow_MWAI_Query_Feedback ) {
if ( !empty( $query->blocks ) ) {
foreach ( $query->blocks as $feedback_block ) {
$body['messages'][] = $feedback_block['rawMessage'];
foreach ( $feedback_block['feedbacks'] as $feedback ) {
$body['messages'][] = [
'tool_call_id' => $feedback['request']['toolId'],
"role" => "tool",
'name' => $feedback['request']['name'],
'content' => $feedback['reply']['value']
];
}
}
}
return $body;
}
return $body;
}
else if ( $query instanceof Meow_MWAI_Query_Transcribe ) {
$body = array(
'prompt' => $query->message,
'model' => $query->model,
'response_format' => 'text',
'file' => basename( $query->url ),
'data' => $extra
);
return $body;
}
else if ( $query instanceof Meow_MWAI_Query_Embed ) {
$body = array( 'input' => $query->message, 'model' => $query->model );
if ( $this->envType === 'azure' ) {
$body = array( "input" => $query->message );
}
// Dimensions are only supported by v3 models
if ( !empty( $query->dimensions ) && strpos( $query->model, 'ada-002' ) === false ) {
$body['dimensions'] = $query->dimensions;
}
return $body;
}
else if ( $query instanceof Meow_MWAI_Query_Image ) {
$model = $query->model;
$resolution = !empty( $query->resolution ) ? $query->resolution : '1024x1024';
$body = array(
"prompt" => $query->message,
"n" => $query->maxResults,
"size" => $resolution,
);
if ( $model === 'dall-e-3' ) {
$body['model'] = 'dall-e-3';
}
if ( $model === 'dall-e-3-hd' ) {
$body['model'] = 'dall-e-3';
$body['quality'] = 'hd';
}
if ( !empty( $query->style ) && strpos( $model, 'dall-e-3' ) === 0 ) {
$body['style'] = $query->style;
}
return $body;
}
}
protected function build_url( $query, $endpoint = null ) {
$url = "";
$env = $this->env;
// This endpoint is basically OpenAI or Azure, but in the case this class
// is overriden, we can pass the endpoint directly (for OpenRouter or HuggingFace, for example).
if ( empty( $endpoint ) ) {
if ( $this->envType === 'openai' ) {
$endpoint = apply_filters( 'mwai_openai_endpoint', 'https://api.openai.com/v1', $this->env );
$this->organizationId = isset( $env['organizationId'] ) ? $env['organizationId'] : null;
}
else if ( $this->envType === 'azure' ) {
$endpoint = isset( $env['endpoint'] ) ? $env['endpoint'] : null;
}
else {
if ( empty( $this->envType ) ) {
throw new Exception( 'Endpoint is not defined, and this envType is not known.' );
}
throw new Exception( 'Endpoint is not defined, and this envType is not known: ' . $this->envType );
}
}
// Add the base API to the URL
if ( $query instanceof Meow_MWAI_Query_Text || $query instanceof Meow_MWAI_Query_Feedback ) {
if ( $this->envType === 'azure' ) {
$deployment_name = $this->get_azure_deployment_name( $query->model );
$url = trailingslashit( $endpoint ) . 'openai/deployments/' . $deployment_name;
if ( $query->mode === 'chat' ) {
$url .= '/chat/completions?' . $this->azureApiVersion;
}
else if ($query->mode === 'completion') {
$url .= '/completions?' . $this->azureApiVersion;
}
}
else {
if ( $query->mode === 'chat' ) {
$url .= trailingslashit( $endpoint ) . 'chat/completions';
}
else if ( $query->mode === 'completion' ) {
$url .= trailingslashit( $endpoint ) . 'completions';
}
}
return $url;
}
else if ( $query instanceof Meow_MWAI_Query_Transcribe ) {
$modeEndpoint = $query->mode === 'translation' ? 'translations' : 'transcriptions';
$url .= trailingslashit( $endpoint ) . 'audio/' . $modeEndpoint;
return $url;
}
else if ( $query instanceof Meow_MWAI_Query_Embed ) {
$url .= trailingslashit( $endpoint ) . 'embeddings';
if ( $this->envType === 'azure' ) {
$deployment_name = $this->get_azure_deployment_name( $query->model );
$url = trailingslashit( $endpoint ) . 'openai/deployments/' .
$deployment_name . '/embeddings?' . $this->azureApiVersion;
}
return $url;
}
else if ( $query instanceof Meow_MWAI_Query_Image ) {
$url .= trailingslashit( $endpoint ) . 'images/generations';
if ( $this->envType === 'azure' ) {
$deployment_name = $this->get_azure_deployment_name( $query->model );
$url = trailingslashit( $endpoint ) . 'openai/deployments/' .
$deployment_name . '/images/generations?' . $this->azureApiVersion;
}
return $url;
}
throw new Exception( 'The query is not supported by build_url().' );
}
protected function build_headers( $query ) {
if ( $query->apiKey ) {
$this->apiKey = $query->apiKey;
}
if ( empty( $this->apiKey ) ) {
throw new Exception( 'No API Key provided. Please visit the Settings.' );
}
$headers = array(
'Content-Type' => 'application/json',
'Authorization' => 'Bearer ' . $this->apiKey,
);
if ( $this->organizationId ) {
$headers['OpenAI-Organization'] = $this->organizationId;
}
if ( $this->envType === 'azure' ) {
$headers = array( 'Content-Type' => 'application/json', 'api-key' => $this->apiKey );
}
return $headers;
}
protected function build_options( $headers, $json = null, $forms = null, $method = 'POST' ) {
$body = null;
if ( !empty( $forms ) ) {
$boundary = wp_generate_password ( 24, false );
$headers['Content-Type'] = 'multipart/form-data; boundary=' . $boundary;
$body = $this->build_form_body( $forms, $boundary );
}
else if ( !empty( $json ) ) {
$body = json_encode( $json );
}
$options = array(
'headers' => $headers,
'method' => $method,
'timeout' => MWAI_TIMEOUT,
'body' => $body,
'sslverify' => false
);
return $options;
}
// object: "thread.message.delta"
protected function stream_data_handler( $json ) {
$content = null;
// Get additional data from the JSON
if ( isset( $json['model'] ) ) {
$this->inModel = $json['model'];
}
if ( isset( $json['id'] ) ) {
$this->inId = $json['id'];
}
$object = $json['object'] ?? null;
if ( $object === 'thread.run' ) {
$this->inThreadId = $json['thread_id'];
if ( $json['status'] === 'failed' ) {
$error = $json['last_error']['message'] ?? 'The run failed.';
throw new Exception( $error );
}
}
else if ( $object === 'thread.run.step.delta' ) {
if ( $json['delta']['step_details']['type'] === 'tool_calls' ) {
foreach ( $json['delta']['step_details']['tool_calls'] as $tool_call ) {
$index = $tool_call['index'] ?? null;
$currentStreamToolCall = null;
if ( $index !== null && isset( $this->streamToolCalls[$index] ) ) {
$currentStreamToolCall = &$this->streamToolCalls[$index];
}
else {
$this->streamToolCalls[] = [
'id' => null,
'type' => null,
'function' => [ 'name' => "", 'arguments' => "" ]
];
end( $this->streamToolCalls );
$currentStreamToolCall = &$this->streamToolCalls[ key( $this->streamToolCalls ) ];
}
if ( !empty( $tool_call['id'] ) ) {
$currentStreamToolCall['id'] = $tool_call['id'];
}
if ( !empty( $tool_call['type'] ) ) {
$currentStreamToolCall['type'] = $tool_call['type'];
}
if ( isset( $tool_call['function'] ) ) {
$function = $tool_call['function'];
if ( isset( $function['name'] ) ) {
$currentStreamToolCall['function']['name'] .= $function['name'];
}
if ( isset( $function['arguments'] ) ) {
$currentStreamToolCall['function']['arguments'] .= $function['arguments'];
}
}
$this->streamLastMessage['tool_calls'] = $this->streamToolCalls;
}
}
}
else if ( $object === 'thread.message.delta' ) {
$delta = $json['delta']['content'][0] ?? null;
if ( $delta ) {
switch ( $delta['type'] ?? null ) {
case 'text':
$content = $delta['value'] ?? $delta['text'];
break;
case 'image':
$content = $delta['url'];
break;
case 'function_call':
if ( empty( $this->streamFunctionCall ) ) {
$this->streamFunctionCall = [ 'name' => "", 'arguments' => [] ];
}
$this->streamFunctionCall['name'] = $delta['function_call']['name'] ?? $this->streamFunctionCall['name'];
if ( isset( $delta['function_call']['arguments'] ) ) {
$args = json_decode( $delta['function_call']['arguments'], true );
$this->streamFunctionCall['arguments'] = $args ?? [];
}
break;
case 'tool_call':
$tool_call = $delta['tool_call'];
$index = $tool_call['index'] ?? null;
$currentStreamToolCall = null;
if ( $index !== null && isset( $this->streamToolCalls[$index] ) ) {
$currentStreamToolCall = &$this->streamToolCalls[$index];
}
else {
$this->streamToolCalls[] = [
'id' => null,
'type' => null,
'function' => [ 'name' => "", 'arguments' => "" ]
];
end( $this->streamToolCalls );
$currentStreamToolCall = &$this->streamToolCalls[ key( $this->streamToolCalls ) ];
}
break;
}
}
}
else {
if ( isset( $json['choices'][0]['text'] ) ) {
$content = $json['choices'][0]['text'];
}
else if ( isset( $json['choices'][0]['delta']['content'] ) ) {
$content = $json['choices'][0]['delta']['content'];
}
else if ( isset( $json['choices'][0]['delta']['function_call'] ) ) {
if ( empty( $this->streamFunctionCall ) ) {
$this->streamFunctionCall = [ 'name' => "", 'arguments' => [] ];
}
$this->streamFunctionCall['name'] = $json['choices'][0]['delta']['function_call']['name'] ?? $this->streamFunctionCall['name'];
if ( isset( $json['choices'][0]['delta']['function_call']['arguments'] ) ) {
$args = json_decode( $json['choices'][0]['delta']['function_call']['arguments'], true );
$this->streamFunctionCall['arguments'] = $args ?? [];
}
}
else if ( isset( $json['choices'][0]['delta']['tool_calls'] ) ) {
foreach ( $json['choices'][0]['delta']['tool_calls'] as $tool_call ) {
$index = $tool_call['index'] ?? null;
$currentStreamToolCall = null;
if ( $index !== null && isset( $this->streamToolCalls[$index] ) ) {
$currentStreamToolCall = &$this->streamToolCalls[$index];
}
else {
$this->streamToolCalls[] = [
'id' => null,
'type' => null,
'function' => [ 'name' => "", 'arguments' => "" ]
];
end( $this->streamToolCalls );
$currentStreamToolCall = &$this->streamToolCalls[ key( $this->streamToolCalls ) ];
}
if ( !empty( $tool_call['id'] ) ) {
$currentStreamToolCall['id'] = $tool_call['id'];
}
if ( !empty( $tool_call['type'] ) ) {
$currentStreamToolCall['type'] = $tool_call['type'];
}
if ( isset( $tool_call['function'] ) ) {
$function = $tool_call['function'];
if ( isset( $function['name'] ) ) {
$currentStreamToolCall['function']['name'] .= $function['name'];
}
if ( isset( $function['arguments'] ) ) {
$currentStreamToolCall['function']['arguments'] .= $function['arguments'];
}
}
$this->streamLastMessage['tool_calls'] = $this->streamToolCalls;
}
}
else if ( isset( $json['choices'][0]['delta']['role'] ) ) {
$this->streamLastMessage = [
'role' => $json['choices'][0]['delta']['role'],
'content' => null
];
}
}
if ( !empty( $json['usage'] ) && isset( $json['usage']['prompt_tokens'] )
&& isset( $json['usage']['completion_tokens'] ) ) {
$this->streamInTokens = $json['usage']['prompt_tokens'];
$this->streamOutTokens = $json['usage']['completion_tokens'];
}
// If content is an array, let's try to convert it into a string. Normally, there would be a 'value' key.
if ( is_array( $content ) ) {
if ( isset( $content['value'] ) ) {
$content = $content['value'];
}
else {
throw new Exception( 'AI Engine: Could not read this: ' . json_encode( $content ) );
}
}
// Avoid some endings
$endings = [ "", "</s>" ];
if ( in_array( $content, $endings ) ) {
$content = null;
}
return ( $content === '0' || !empty( $content ) ) ? $content : null;
}
public function run_query( $url, $options, $isStream = false ) {
try {
$options['stream'] = $isStream;
if ( $isStream ) {
$options['filename'] = tempnam( sys_get_temp_dir(), 'mwai-stream-' );
}
$res = wp_remote_get( $url, $options );
if ( is_wp_error( $res ) ) {
throw new Exception( $res->get_error_message() );
}
$responseCode = wp_remote_retrieve_response_code( $res );
if ( $responseCode === 404 ) {
throw new Exception( 'The model\'s API URL was not found: ' . $url );
}
if ( $responseCode === 400 ) {
$message = wp_remote_retrieve_body( $res );
if ( empty( $message ) ) {
$message = wp_remote_retrieve_response_message( $res );
}
if ( empty( $message ) ) {
$message = 'Bad Request';
}
throw new Exception( $message );
}
if ( $isStream ) {
return [ 'stream' => true ];
}
$response = wp_remote_retrieve_body( $res );
$headersRes = wp_remote_retrieve_headers( $res );
$headers = $headersRes->getAll();
// Check if Content-Type is 'multipart/form-data' or 'text/plain'
// If so, we don't need to decode the response
$normalizedHeaders = array_change_key_case( $headers, CASE_LOWER );
$resContentType = $normalizedHeaders['content-type'] ?? '';
if ( strpos( $resContentType, 'multipart/form-data' ) !== false || strpos( $resContentType, 'text/plain' ) !== false ) {
return [ 'stream' => false, 'headers' => $headers, 'data' => $response ];
}
$data = json_decode( $response, true );
$this->handle_response_errors( $data );
return [ 'headers' => $headers, 'data' => $data ];
}
catch ( Exception $e ) {
$this->core->log( '❌ (OpenAI) ' . $e->getMessage() );
throw $e;
}
}
private function get_audio( $url ) {
require_once( ABSPATH . 'wp-admin/includes/media.php' );
$tmpFile = tempnam( sys_get_temp_dir(), 'audio_' );
file_put_contents( $tmpFile, file_get_contents( $url ) );
$length = null;
$metadata = wp_read_audio_metadata( $tmpFile );
if ( isset( $metadata['length'] ) ) {
$length = $metadata['length'];
}
$data = file_get_contents( $tmpFile );
unlink( $tmpFile );
return [ 'data' => $data, 'length' => $length ];
}
public function run_transcribe_query( $query ) {
// Check if the URL is valid.
if ( !filter_var( $query->url, FILTER_VALIDATE_URL ) ) {
throw new Exception( 'Invalid URL for transcription.' );
}
$audioData = $this->get_audio( $query->url );
$body = $this->build_body( $query, null, $audioData['data'] );
$url = $this->build_url( $query );
$headers = $this->build_headers( $query );
$options = $this->build_options( $headers, null, $body );
// Perform the request
try {
$res = $this->run_query( $url, $options );
$data = $res['data'];
if ( empty( $data ) ) {
throw new Exception( 'Invalid data for transcription.' );
}
$usage = $this->core->record_audio_usage( $query->model, $audioData['length'] );
$reply = new Meow_MWAI_Reply( $query );
$reply->set_usage( $usage );
$reply->set_choices( $data );
return $reply;
}
catch ( Exception $e ) {
$this->core->log( '❌ (OpenAI) ' . $e->getMessage() );
$service = $this->get_service_name();
throw new Exception( "From $service: " . $e->getMessage() );
}
}
public function run_embedding_query( $query ) {
$body = $this->build_body( $query );
$url = $this->build_url( $query );
$headers = $this->build_headers( $query );
$options = $this->build_options( $headers, $body );
try {
$res = $this->run_query( $url, $options );
$data = $res['data'];
if ( empty( $data ) || !isset( $data['data'] ) ) {
throw new Exception( 'Invalid data for embedding.' );
}
$usage = $data['usage'];
$this->core->record_tokens_usage( $query->model, $usage['prompt_tokens'] );
$reply = new Meow_MWAI_Reply( $query );
$reply->set_usage( $usage );
$reply->set_choices( $data['data'] );
return $reply;
}
catch ( Exception $e ) {
$message = $e->getMessage();
$error = $this->try_decode_error( $message );
if ( !is_null( $error ) ) {
$message = $error;
}
$this->core->log( '❌ (OpenAI) ' . $message );
$service = $this->get_service_name();
throw new Exception( "From $service: " . $message );
}
}
public function try_decode_error( $data ) {
$json = json_decode( $data, true );
if ( isset( $json['error']['message'] ) ) {
return $json['error']['message'];
}
return null;
}
public function run_completion_query( $query, $streamCallback = null ) : Meow_MWAI_Reply {
$isStreaming = !is_null( $streamCallback );
if ( $isStreaming ) {
$this->streamCallback = $streamCallback;
add_action( 'http_api_curl', [ $this, 'stream_handler' ], 10, 3 );
}
if ( $query->mode !== 'chat' && $query->mode !== 'completion' ) {
throw new Exception( 'Unknown mode for query: ' . $query->mode );
}
$this->reset_stream();
$body = $this->build_body( $query, $streamCallback );
$url = $this->build_url( $query );
$headers = $this->build_headers( $query );
$options = $this->build_options( $headers, $body );
try {
$res = $this->run_query( $url, $options, $streamCallback );
$reply = new Meow_MWAI_Reply( $query );
$returned_id = null;
$returned_model = $this->inModel;
$returned_in_tokens = null;
$returned_out_tokens = null;
$returned_price = null;
$returned_choices = [];
// Streaming Mode
if ( $isStreaming ) {
if ( empty( $this->streamContent ) ) {
$error = $this->try_decode_error( $this->streamBuffer );
if ( !is_null( $error ) ) {
throw new Exception( $error );
}
}
$returned_id = $this->inId;
$returned_model = $this->inModel ? $this->inModel : $query->model;
$message = [ 'role' => 'assistant', 'content' => $this->streamContent ];
if ( !empty( $this->streamFunctionCall ) ) {
$message['function_call'] = $this->streamFunctionCall;
}
if ( !empty( $this->streamToolCalls ) ) {
$message['tool_calls'] = $this->streamToolCalls;
}
if ( !is_null( $this->streamInTokens ) ) {
$returned_in_tokens = $this->streamInTokens;
}
if ( !is_null( $this->streamOutTokens ) ) {
$returned_out_tokens = $this->streamOutTokens;
}
$returned_choices = [ [ 'message' => $message ] ];
}
// Standard Mode
else {
$data = $res['data'];
if ( empty( $data ) ) {
throw new Exception( 'No content received (res is null).' );
}
if ( !$data['model'] ) {
$this->core->log( '❌ (OpenAI) Invalid response (no model information):' );
$this->core->log( '❌ (OpenAI) ' . print_r( $data, 1 ) );
throw new Exception( 'Invalid response (no model information).' );
}
$returned_id = $data['id'];
$returned_model = $data['model'];
$returned_in_tokens = isset( $data['usage']['prompt_tokens'] ) ?
$data['usage']['prompt_tokens'] : null;
$returned_out_tokens = isset( $data['usage']['completion_tokens'] ) ?
$data['usage']['completion_tokens'] : null;
$returned_price = isset( $data['usage']['total_cost'] ) ?
$data['usage']['total_cost'] : null;
$returned_choices = $data['choices'];
}
// Set the results.
$reply->set_choices( $returned_choices );
if ( !empty( $returned_id ) ) {
$reply->set_id( $returned_id );
}
if ( !empty( $returned_id ) ) {
$reply->set_id( $returned_id );
}
// Handle tokens.
$this->handle_tokens_usage( $reply, $query, $returned_model,
$returned_in_tokens, $returned_out_tokens, $returned_price
);
return $reply;
}
catch ( Exception $e ) {
$this->core->log( '❌ (OpenAI) ' . $e->getMessage() );
$service = $this->get_service_name();
$message = "From $service: " . $e->getMessage();
throw new Exception( $message );
}
finally {
if ( !is_null( $streamCallback ) ) {
remove_action( 'http_api_curl', [ $this, 'stream_handler' ] );
}
}
}
public function handle_tokens_usage( $reply, $query, $returned_model,
$returned_in_tokens, $returned_out_tokens, $returned_price = null ) {
$returned_in_tokens = !is_null( $returned_in_tokens ) ? $returned_in_tokens :
$reply->get_in_tokens( $query );
$returned_out_tokens = !is_null( $returned_out_tokens ) ? $returned_out_tokens :
$reply->get_out_tokens();
$returned_price = !is_null( $returned_price ) ? $returned_price :
$reply->get_price();
$usage = $this->core->record_tokens_usage(
$returned_model,
$returned_in_tokens,
$returned_out_tokens,
$returned_price
);
$reply->set_usage( $usage );
}
// Request to DALL-E API
public function run_images_query( $query ) {
$body = $this->build_body( $query );
$url = $this->build_url( $query );
$headers = $this->build_headers( $query );
$options = $this->build_options( $headers, $body );
try {
$res = $this->run_query( $url, $options );
$data = $res['data'];
$choices = [];
if ( $this->envType === 'azure' ) {
foreach ( $data['data'] as $entry ) {
$choices[] = [ 'url' => $entry['url'] ];
}
}
else {
$choices = $data['data'];
}
$reply = new Meow_MWAI_Reply( $query );
$model = $query->model;
$resolution = !empty( $query->resolution ) ? $query->resolution : '1024x1024';
$usage = $this->core->record_images_usage( $model, $resolution, $query->maxResults );
$reply->set_usage( $usage );
$reply->set_choices( $choices );
$reply->set_type( 'images' );
if ( $query->localDownload === 'uploads' || $query->localDownload === 'library' ) {
foreach ( $reply->results as &$result ) {
$fileId = $this->core->files->upload_file( $result, null, 'generated', [
'query_envId' => $query->envId,
'query_session' => $query->session,
'query_model' => $query->model,
], $query->envId, $query->localDownload, $query->localDownloadExpiry );
$fileUrl = $this->core->files->get_url( $fileId );
$result = $fileUrl;
}
}
$reply->result = $reply->results[0];
return $reply;
}
catch ( Exception $e ) {
$this->core->log( '❌ (OpenAI) ' . $e->getMessage() );
$service = $this->get_service_name();
throw new Exception( "From $service: " . $e->getMessage() );
}
}
/*
This is the rest of the OpenAI API support, not related to the models directly.
*/
// Check if there are errors in the response from OpenAI, and throw an exception if so.
protected function handle_response_errors( $data ) {
if ( isset( $data['error'] ) && !empty( $data['error'] ) ) {
$message = $data['error']['message'];
if ( preg_match( '/API key provided(: .*)\./', $message, $matches ) ) {
$message = str_replace( $matches[1], '', $message );
}
throw new Exception( $message );
}
}
public function list_files( $purposeFilter = null )
{
if ( empty( $purposeFilter ) ) {
return $this->execute( 'GET', '/files' );
}
return $this->execute( 'GET', '/files', [ 'purpose' => $purposeFilter ] );
}
static function get_suffix_for_model($model)
{
// Legacy fine-tuned models
preg_match( "/:([a-zA-Z0-9\-]{1,40})-([0-9]{4})-([0-9]{2})-([0-9]{2})/", $model, $matches);
if ( count( $matches ) > 0 ) {
return $matches[1];
}
// New fine-tuned models
preg_match("/:([^:]+)(?=:[^:]+$)/", $model, $matches);
if (count($matches) > 0) {
return $matches[1];
}
return 'N/A';
}
static function get_finetune_base_model( $model )
{
// New fine-tuned models
preg_match("/^ft:([^:]+):/", $model, $matches);
if (count($matches) > 0) {
if ( preg_match( '/^gpt-3.5/', $matches[1] ) ) {
return "gpt-3.5-turbo";
}
else if ( preg_match( '/^gpt-4/', $matches[1] ) ) {
return "gpt-4";
}
return $matches[1];
}
// Legacy fine-tuned models
preg_match('/^([a-zA-Z]{0,32}):/', $model, $matches );
if ( count( $matches ) > 0 ) {
return $matches[1];
}
return null;
}
public function list_deleted_finetunes( $envId = null, $legacy = false )
{
$finetunes = $this->list_finetunes( $legacy );
$deleted = [];
foreach ( $finetunes as $finetune ) {
$name = $finetune['model'];
$isSucceeded = $finetune['status'] === 'succeeded';
if ( $isSucceeded ) {
try {
$finetune = $this->get_model( $name );
}
catch ( Exception $e ) {
$deleted[] = $name;
}
}
}
if ( $legacy ) {
$this->core->update_ai_env( $this->envId, 'legacy_finetunes_deleted', $deleted );
}
else {
$this->core->update_ai_env( $this->envId, 'finetunes_deleted', $deleted );
}
return $deleted;
}
// TODO: This was used to retrieve the fine-tuned models, but not sure this is how we should
// retrieve all the models since Summer 2023, let's see! WIP.
public function list_finetunes( $legacy = false )
{
if ( $legacy ) {
$res = $this->execute( 'GET', '/fine-tunes' );
}
else {
$res = $this->execute( 'GET', '/fine_tuning/jobs' );
}
$finetunes = $res['data'];
// Add suffix
$finetunes = array_map( function ( $finetune ) {
$finetune['suffix'] = SELF::get_suffix_for_model( $finetune['fine_tuned_model'] );
$finetune['createdOn'] = date( 'Y-m-d H:i:s', $finetune['created_at'] );
if ( isset( $finetune['estimated_finish'] ) ) {
$finetune['estimatedOn'] = date( 'Y-m-d H:i:s', $finetune['estimated_finish'] );
}
else {
$finetune['estimatedOn'] = null;
}
//$finetune['updatedOn'] = date( 'Y-m-d H:i:s', $finetune['updated_at'] );
$finetune['base_model'] = $finetune['model'];
$finetune['model'] = $finetune['fine_tuned_model'];
unset( $finetune['object'] );
unset( $finetune['hyperparams'] );
unset( $finetune['result_files'] );
unset( $finetune['training_files'] );
unset( $finetune['validation_files'] );
unset( $finetune['created_at'] );
unset( $finetune['updated_at'] );
unset( $finetune['fine_tuned_model'] );
return $finetune;
}, $finetunes);
usort( $finetunes, function ( $a, $b ) {
return strtotime( $b['createdOn'] ) - strtotime( $a['createdOn'] );
});
if ( $legacy ) {
$this->core->update_ai_env( $this->envId, 'legacy_finetunes', $finetunes );
}
else {
$this->core->update_ai_env( $this->envId, 'finetunes', $finetunes );
}
return $finetunes;
}
public function moderate( $input ) {
$result = $this->execute('POST', '/moderations', [
'input' => $input
]);
return $result;
}
public function upload_file( $filename, $data, $purpose = 'fine-tune' )
{
$result = $this->execute('POST', '/files', null, [
'purpose' => $purpose,
'data' => $data,
'file' => $filename
] );
return $result;
}
public function create_vector_store( $name = null, $expiry = null, $metadata = null ) {
$expiryInDays = $expiry ? max( 1, ceil( $expiry / 86400 ) ) : 7;
$result = $this->execute( 'POST', '/vector_stores', [
'name' => !empty( $name ) ? $name : 'default',
'metadata' => $metadata,
'expires_after' => [
'anchor' => 'last_active_at',
'days' => $expiryInDays
]
], null, true, [ 'OpenAI-Beta' => 'assistants=v2' ] );
return $result['id'];
}
public function add_vector_store_file( $vectorStoreId, $fileId ) {
$result = $this->execute( 'POST', '/vector_stores/' . $vectorStoreId . '/files', [
'file_id' => $fileId
], null, true, [ 'OpenAI-Beta' => 'assistants=v2' ] );
return $result['id'];
}
public function delete_file( $fileId )
{
return $this->execute( 'DELETE', '/files/' . $fileId );
}
public function get_model( $modelId )
{
return $this->execute( 'GET', '/models/' . $modelId );
}
public function cancel_finetune( $fineTuneId )
{
return $this->execute( 'POST', '/fine-tunes/' . $fineTuneId . '/cancel' );
}
public function delete_finetune( $modelId )
{
return $this->execute( 'DELETE', '/models/' . $modelId );
}
public function download_file( $fileId, $newFile = null ) {
$fileInfo = $this->execute( 'GET', '/files/' . $fileId, null, null, false );
$fileInfo = json_decode( (string)$fileInfo, true );
$filename = $fileInfo['filename'];
$extension = pathinfo( $filename, PATHINFO_EXTENSION );
if ( empty( $newFile ) ) {
include_once( ABSPATH . 'wp-admin/includes/file.php' );
$tempFile = wp_tempnam( $filename );
if ( !$tempFile ) {
$tempFile = tempnam( sys_get_temp_dir(), 'download_' );
}
if ( pathinfo( $tempFile, PATHINFO_EXTENSION ) != $extension ) {
$newFile = $tempFile . '.' . $extension;
}
else {
$newFile = $tempFile;
}
}
$data = $this->execute( 'GET', '/files/' . $fileId . '/content', null, null, false );
file_put_contents( $newFile, $data );
return $newFile;
}
public function run_finetune( $fileId, $model, $suffix, $hyperparams = [], $legacy = false )
{
$n_epochs = isset( $hyperparams['nEpochs'] ) ? (int)$hyperparams['nEpochs'] : null;
$batch_size = isset( $hyperparams['batchSize'] ) ? (int)$hyperparams['batchSize'] : null;
$learning_rate_multiplier = isset( $hyperparams['learningRateMultiplier'] ) ?
(float)$hyperparams['learningRateMultiplier'] : null;
$prompt_loss_weight = isset( $hyperparams['promptLossWeight'] ) ?
(float)$hyperparams['promptLossWeight'] : null;
$arguments = [
'training_file' => $fileId,
'model' => $model,
'suffix' => $suffix
];
if ( $legacy ) {
$result = $this->execute( 'POST', '/fine-tunes', $arguments );
}
else {
if ( $n_epochs ) {
$arguments['hyperparams'] = [];
$arguments['hyperparams']['n_epochs'] = $n_epochs;
}
if ( $batch_size ) {
if ( empty( $arguments['hyperparams'] ) ) {
$arguments['hyperparams'] = [];
}
$arguments['hyperparams']['batch_size'] = $batch_size;
}
if ( $learning_rate_multiplier ) {
if ( empty( $arguments['hyperparams'] ) ) {
$arguments['hyperparams'] = [];
}
$arguments['hyperparams']['learning_rate_multiplier'] = $learning_rate_multiplier;
}
if ( $prompt_loss_weight ) {
if ( empty( $arguments['hyperparams'] ) ) {
$arguments['hyperparams'] = [];
}
$arguments['hyperparams']['prompt_loss_weight'] = $prompt_loss_weight;
}
if ( $model === 'turbo' ) {
$arguments['model'] = 'gpt-3.5-turbo';
}
$result = $this->execute( 'POST', '/fine_tuning/jobs', $arguments );
}
return $result;
}
/**
* Build the body of a form request.
* If the field name is 'file', then the field value is the filename of the file to upload.
* The file contents are taken from the 'data' field.
*
* @param array $fields
* @param string $boundary
* @return string
*/
public function build_form_body( $fields, $boundary )
{
$body = '';
foreach ( $fields as $name => $value ) {
if ( $name == 'data' ) {
continue;
}
$body .= "--$boundary\r\n";
$body .= "Content-Disposition: form-data; name=\"$name\"";
if ( $name == 'file' ) {
$body .= "; filename=\"{$value}\"\r\n";
$body .= "Content-Type: application/json\r\n\r\n";
$body .= $fields['data'] . "\r\n";
}
else {
$body .= "\r\n\r\n$value\r\n";
}
}
$body .= "--$boundary--\r\n";
return $body;
}
/**
* Run a request to the OpenAI API.
* Fore more information about the $formFields, refer to the build_form_body method.
*
* @param string $method POST, PUT, GET, DELETE...
* @param string $url The API endpoint
* @param array $query The query parameters (json)
* @param array $formFields The form fields (multipart/form-data)
* @param bool $json Whether to return the response as json or not
* @return array
*/
public function execute( $method, $url, $query = null, $formFields = null,
$json = true, $extraHeaders = null, $streamCallback = null )
{
$headers = "Content-Type: application/json\r\n" . "Authorization: Bearer " . $this->apiKey . "\r\n";
if ( $this->organizationId ) {
$headers .= "OpenAI-Organization: " . $this->organizationId . "\r\n";
}
$body = $query ? json_encode( $query ) : null;
if ( !empty( $formFields ) ) {
$boundary = wp_generate_password( 24, false );
$headers = [
'Content-Type' => 'multipart/form-data; boundary=' . $boundary,
'Authorization' => 'Bearer ' . $this->apiKey
];
if ( $this->organizationId ) {
$headers['OpenAI-Organization'] = $this->organizationId;
}
$body = $this->build_form_body( $formFields, $boundary );
}
// Maybe we should have headers always as an array... not sure why we have it as a string.
if ( !empty( $extraHeaders ) ) {
foreach ( $extraHeaders as $key => $value ) {
if ( is_array( $headers ) ) {
$headers[$key] = $value;
}
else {
$headers .= "$key: $value\r\n";
}
}
}
// If it's a GET, body should be null, and we should append the query to the URL.
if ( $method === 'GET' ) {
if ( !empty( $query ) ) {
$url .= '?' . http_build_query( $query );
}
$body = null;
}
$url = 'https://api.openai.com/v1' . $url;
$options = [
"headers" => $headers,
"method" => $method,
"timeout" => MWAI_TIMEOUT,
"body" => $body,
"sslverify" => false
];
try {
if ( !is_null( $streamCallback ) ) {
$options['stream'] = true;
$options['filename'] = tempnam( sys_get_temp_dir(), 'mwai-stream-' );
// The stream handler calls the streamCallback every time there is content
// TODO: For assistants, we should probably have a different stream handler to
// handle the assistant's specific reply and perform the necessary actions.
$this->streamCallback = $streamCallback;
add_action( 'http_api_curl', [ $this, 'stream_handler' ], 10, 3 );
}
$res = wp_remote_request( $url, $options );
if ( is_wp_error( $res ) ) {
throw new Exception( $res->get_error_message() );
}
$res = wp_remote_retrieve_body( $res );
$data = $json ? json_decode( $res, true ) : $res;
$this->handle_response_errors( $data );
return $data;
}
catch ( Exception $e ) {
$this->core->log( '❌ (OpenAI) ' . $e->getMessage() );
throw new Exception( 'From OpenAI: ' . $e->getMessage() );
}
finally {
if ( !is_null( $streamCallback ) ) {
remove_action( 'http_api_curl', [ $this, 'stream_handler' ] );
}
}
}
public function get_models() {
$models = apply_filters( 'mwai_openai_models', MWAI_OPENAI_MODELS );
$finetunes = !empty( $this->env['finetunes'] ) ? $this->env['finetunes'] : [];
foreach ( $finetunes as $finetune ) {
if ( $finetune['status'] !== 'succeeded' ) {
continue;
}
$baseModel = SELF::get_finetune_base_model( $finetune['model'] );
if ( !empty( $baseModel ) ) {
$model = null;
foreach ( $models as $currentModel ) {
if ( $currentModel['model'] === $baseModel ) {
$model = $currentModel;
break;
}
}
if ( !empty( $model ) ) {
$model['model'] = $finetune['model'];
$model['name'] = SELF::get_suffix_for_model( $finetune['model'] );
$models[] = $model;
}
}
}
return $models;
}
static public function get_models_static() {
return MWAI_OPENAI_MODELS;
}
private function calculate_price( $modelFamily, $inUnits, $outUnits, $option = null, $finetune = false )
{
// For fine-tuned models:
$potentialBaseModel = SELF::get_finetune_base_model( $modelFamily );
if ( !empty( $potentialBaseModel ) ) {
$modelFamily = $potentialBaseModel;
$finetune = true;
}
$models = $this->get_models();
foreach ( $models as $currentModel ) {
if ( $currentModel['model'] === $modelFamily || ( $finetune && $currentModel['family'] === $modelFamily ) ) {
if ( $currentModel['type'] === 'image' ) {
if ( !$option ) {
$this->core->log( "⚠️ (OpenAI) Image models require an option." );
return null;
}
else {
foreach ( $currentModel['options'] as $imageType ) {
if ( $imageType['option'] == $option ) {
return $imageType['price'] * $outUnits;
}
}
}
}
else {
if ( $finetune ) {
if ( isset( $currentModel['finetune']['price'] ) ) {
$currentModel['price'] = $currentModel['finetune']['price'];
}
else if ( isset( $currentModel['finetune']['in'] ) ) {
$currentModel['price'] = [
'in' => $currentModel['finetune']['in'],
'out' => $currentModel['finetune']['out']
];
}
}
$inPrice = $currentModel['price'];
$outPrice = $currentModel['price'];
if ( is_array( $currentModel['price'] ) ) {
$inPrice = $currentModel['price']['in'];
$outPrice = $currentModel['price']['out'];
}
$inTotalPrice = $inPrice * $currentModel['unit'] * $inUnits;
$outTotalPrice = $outPrice * $currentModel['unit'] * $outUnits;
return $inTotalPrice + $outTotalPrice;
}
}
}
$this->core->log( "⚠️ (OpenAI) Invalid model ($modelFamily)." );
return null;
}
public function get_price( Meow_MWAI_Query_Base $query, Meow_MWAI_Reply $reply )
{
$model = $query->model;
$units = 0;
$option = null;
$finetune = false;
if ( is_a( $query, 'Meow_MWAI_Query_Text' ) || is_a( $query, 'Meow_MWAI_Query_Assistant' ) ) {
if ( preg_match('/^([a-zA-Z]{0,32}):/', $model, $matches ) ) {
$finetune = true;
}
$inUnits = $reply->get_in_tokens( $query );
$outUnits = $reply->get_out_tokens();
return $this->calculate_price( $model, $inUnits, $outUnits, $option, $finetune );
}
else if ( is_a( $query, 'Meow_MWAI_Query_Image' ) ) {
/** @var Meow_MWAI_Query_Image $query */
$units = $query->maxResults;
$option = $query->resolution;
return $this->calculate_price( $model, 0, $units, $option, $finetune );
}
else if ( is_a( $query, 'Meow_MWAI_Query_Transcribe' ) ) {
$model = 'whisper';
$units = $reply->get_units();
return $this->calculate_price( $model, 0, $units, $option, $finetune );
}
else if ( is_a( $query, 'Meow_MWAI_Query_Embed' ) ) {
$units = $reply->get_total_tokens();
return $this->calculate_price( $model, 0, $units, $option, $finetune );
}
$this->core->log( "⚠️ (OpenAI) Cannot calculate price for $model.");
return null;
}
public function get_incidents() {
$url = 'https://status.openai.com/history.rss';
$response = wp_remote_get( $url );
if ( is_wp_error( $response ) ) {
throw new Exception( $response->get_error_message() );
}
$response = wp_remote_retrieve_body( $response );
$xml = simplexml_load_string( $response );
$incidents = array();
$oneWeekAgo = time() - 5 * 24 * 60 * 60;
foreach ( $xml->channel->item as $item ) {
$date = strtotime( $item->pubDate );
if ( $date > $oneWeekAgo ) {
$incidents[] = array(
'title' => (string) $item->title,
'description' => (string) $item->description,
'date' => $date
);
}
}
return $incidents;
}
}